Analytical target cascading for efficient coordination of hydrogen-enabled microgrids
Jiayan Liu, Wei Sun, Xueting Wu, Shengli Si, Bingkang Li · Journal of Renewable and Sustainable Energy · 2025
Hydrogen energy storage technology can significantly enhance the energy absorption capability of microgrids. However, traditional centralized scheduling methods in hydrogen energy microgrid systems suffer from limitations in overall efficiency due to information asymmetry. To address the information asymmetry among internal stakeholders within these systems, this study proposes a decentralized coordination model based on Analytical Target Cascading, validated through an algorithm. First, the research introduces the dual layer mechanism that decouples system-level and local scheduling centers, enabling iterative optimization while balancing global efficiency and individual stakeholder benefits. Second, the decentralized dispatch model integrates hydrogen storage and microgrid operations under uncertainties, minimizing total operating costs through an objective function that incorporates equipment constraints, energy interactions, and stochastic scenarios. Finally, the model is verified on a typical case study, and the results indicate that the model achieves a 10% increase in thermal storage power, 6.25% reduction in thermal storage capacity requirements, >45% decrease in hydrogen storage demands, and an 83.3% reduction in thermal charge–discharge cycles while maintaining equivalent total costs.